AI Credits
Last updated
Last updated
Every plan in Relay.app comes with a generous number of free AI credits. AI credits are a single pool of credits that are consumed when running steps that use AI-related features, including:
Prompting AI models
Audio transcription and text-to-speech
Website scraping
The free AI credits that come with all our subscriptions are good for reasonable usage—see the tables below for more details and examples.
If you run out of AI credits in Relay.app, purchase more in your billing settings, or contact support@relay.app for help. Alternatively, if you already pay for credits with a AI service provider, connect that account to Relay.app and switch your AI automations to use that connected model.
Free
Up to 400 data extractions from email, or
Up to 50 data extractions from websites, or
Up to 45 minutes of audio transcription, or
Up to 20 pages of text-to-speech conversion
Or any combination of the above
Professional
Up to 800 data extractions from email, or
Up to 100 data extractions from websites, or
Up to 90 minutes of audio transcription, or
Up to 40 pages of text-to-speech conversion
Or any combination of the above
Team
Up to 1,600 data extractions from email, or
Up to 200 data extractions from websites, or
Up to 180 minutes of audio transcription, or
Up to 80 pages of text-to-speech conversion
Or any combination of the above
When the AI credits included in your plan aren't enough, it's easy to add more via the billing page. Note that you need to be on a paid plan in order to be able to add additional AI credits. If you're on a Free plan, upgrade to Professional or Team first.
Updated: 2024-12-19
Different models and operations require different numbers of credits. This table shows an overview of how AI credits are calculated.
Web scraping: general
-> 5 AI credits per website scraped
Web scraping: Google Search
-> 5 AI credits per Google Search performed
Web scraping: Amazon, Zillow, Indeed
-> 1.67 AI credits per number of Profiles/Pages requested
Web scraping: LinkedIn, Amazon, Zillow, Indeed
-> 7 AI credits per request
OpenAI Audio Transcription
6s of transcribed audio
OpenAI Text-to-Speech (TTS)
Fast: 40 characters converted to speech High definition: 20 characters converted to speech
DALL-E 3 image generation
-> 14 AI credits per image
Google Gemini 1.5 Flash
Google Gemini 2.0 Flash Preview
Google Gemini 1.5 Pro
To see how many AI credits your workspace has used this period and when they refresh, look at the widget on the bottom of the left-nav menu or in your billing settings.
Click on any completed step in a run to see how many credits it consumed when it ran.
The definition of a token differs slightly by model provider. Additionally, input and output tokens are also differentiated from a cost/consumption perspective. We suggest reading the short FAQs from each model provider to learn more:
Unfortunately, it's not trivial to predict how many tokens an AI step will consume upfront, although the articles linked above will give you a better understanding.
For AI steps in Relay.app, token usage is primarily influenced by these factors:
Context included in the prompt The more and larger the attached context, the more tokens will be used every time your step is executed. For example:
An email can easily increase token usage by a few thousand
A PDF can go way beyond that, depending on the size
Whether the step is given Internet access All text on the websites that the model needs to visit for your prompt is included as context, including user-hidden HTML. This can be anywhere between a few hundred to tens of thousands of tokens used per step execution, depending on how many websites the model needs to visit and how large they are.
